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Every paper Pith has read. Search by title, abstract, or pith.
2292 papers in math.OC · page 10
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Zeroth-order proximal Newton reaches superlinear convergence for composite problems
A Unified Zeroth-Order Proximal Newton-Type Framework for Composite Optimization
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Wavenumber matching cuts TPMS de-homogenization error to 0.8 percent
Distortion-minimized de-homogenization for optimization of cell-size distribution in TPMS structures
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Localized noise yields unique invariant measure for Allen-Cahn
Exponential mixing for the stochastic Allen--Cahn equation with localized white noise
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Learned QP filters certify safety without models
Verifiable Model-Free Safety Filters via Reinforcement Learning
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This paper proves that for many kernels
Sharper Guarantees for Misspecified Kernelized Bandit Optimization
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Label correcting algorithms find nondominated temporal paths without monotonicity
Label Correcting Algorithms for the Multiobjective Temporal Shortest Path Problem
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Adaptive step sizes via gradient mapping yield universal proximal convergence
Universal Adaptive Proximal Gradient Methods via Gradient Mapping Accumulation
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Feedback on summaries trains online system to personalize reviews
PREFER: Personalized Review Summarization with Online Preference Learning
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Quadratic perturbation gives privacy to ERM without bounding gradients
Quadratic Objective Perturbation: Curvature-Based Differential Privacy
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Closer targets fix boundary failures in Russell graph DEA scores
A closer target setting approach to boundary problems with the Russell graph measure
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Method finds optimizers for conditional stochastic problems
Unbiased Gradients for a Class of Conditional Stochastic Optimization Problems
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Primal-only warm-starts add nothing to IPM solvers
WARP: A Benchmark for Primal-Dual Warm-Starting of Interior-Point Solvers
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Terminal CBF constraint in MPC enlarges reachable sets as horizon grows
Maximal Controlled Invariant-MPC: Enhancing Feasibility and Reducing Conservatism through Terminal CBF Constraint in Safety-Critical Control
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Monge maps converge in semi-dual OT without needing optimal dual potential
Stability of the Monge Map in Semi-Dual Optimal Transport
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Semi-dual transport map converges without dual optimality
Stability of the Monge Map in Semi-Dual Optimal Transport
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Monge maps converge without requiring optimal dual potentials
Stability of the Monge Map in Semi-Dual Optimal Transport
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Likelihood ratio gives semi-explicit stealthy attacks on linear systems
Optimal Design of Stealthy Attacks in Partially Observed Linear Systems: A Likelihood-Based Approach
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Likelihood ratio turns stealthy attack design into Markovian control
Optimal Design of Stealthy Attacks in Partially Observed Linear Systems: A Likelihood-Based Approach
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Linear energy model enables exact drone delivery route optimization
An Exact Algorithm for Load-Dependent Traveling Salesman Problem for Unmanned Aerial Vehicle Package Delivery
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Lissajous curves speed up path planning for wind kites
A Computationally Tractable Path-Planning Method for Airborne Wind Energy Systems
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Bayesian surrogates lower evaluations for collaborative optimization
Bayesian Algorithm for Collaborative Optimization with Application to Aircraft Design
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Benign regularizer exposes hidden local convexity in nonconvex matrix estimation
Convexity in Disguise: A Theoretical Framework for Nonconvex Low-Rank Matrix Estimation
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Preparedness metric guides ambulance decisions for unknown future calls
Policies for the Operation of an Ambulance Fleet under Uncertainty based on a New Preparedness Metric
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Meta-learning beats GPs for low-data fed-batch optimisation
Meta-learning for sample-efficient Bayesian optimisation of fed-batch processes
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Adaptive elastic nets fix feature starvation in sparse autoencoders
Feature Starvation as Geometric Instability in Sparse Autoencoders
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Tension feed-forward gives UAVs passive recovery from cable cuts
Passive Fault Tolerance through Tension-to-Thrust Feed-Forward: Hybrid Input-to-State Stability for Decentralized Multi-UAV Slung-Load Transport under Abrupt Cable Severance
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S-LCG reaches within 1% of optimum in 83% of benchmark cases
S-LCG: Structured Linear Congruential Generator-Based Deterministic Algorithm for Search and Optimization
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Subdifferentiable convex functions are strictly convex iff subdifferentials are strictly
On Characterizations of (Almost) Strictly Convex Functions
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Degenerate hyperbolic equations stay controllable from the singular point
On Controllability of a Class of N -dimensional Hyperbolic Equations with Internal Single-point Degeneracy
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Automation can exceed the social optimum when low-wealth households drive demand
The Demand Externality of Automation
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Hybrid heuristic solves 47 of 50 MIP instances in five minutes
CHAP: A Hybrid GPU-CPU Heuristic for MIP
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Imitation learning stabilizes plasma from macroscopic measurements
Provable imitation learning for control of instability in partially-observed Vlasov--Poisson equations
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Basin hopping beats multistart on sphere-constrained spin models
Nonconvex optimization methods for ground states in disordered continuous-spin models
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Lifting technique gives unique mild solutions to infinite-dimensional HJB equations
Projected Evolutionary Lifting and Well-Posedness of Stationary Hamilton-Jacobi-Bellman Equations in Infinite Dimensions
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Unbiased estimation bounds recoverable parameters by noiseless limits
On Unbiased Parameter Estimation and Signal Reconstruction
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k-level LP optimal-value decisions are Σ^p_{k-1}-complete
Decision Problems in Multilevel Linear Programming
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Derivatives cut symmetric realizations to diagonals in char 2
Symmetric Bessmertny\u{i} Realizations and Field Extension Problems in Characteristic 2 - A Differential Algebra Approach
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Global solvers yield new packings for circles and solids
Out-of-the-Box Global Optimization for Packing Problems: New Models and Improved Solutions
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Bilinear coupling improves Koopman MPC under time-varying dynamics
Bilinear Mamba-Koopman Neural MPC for Varying Dynamics
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ADMM decomposition solves DES design 13x faster on large LV networks
Distributed Energy System Design including Unbalanced AC Power Flow for Large LV Networks with ADMM
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ADMM decomposition speeds DES design with AC power flow by 13x
Distributed Energy System Design including Unbalanced AC Power Flow for Large LV Networks with ADMM
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SIMP density field initializes level-set for sharp 3D boundaries
Sequential topology optimization: SIMP initialization for level-set boundary refinement
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Dual variables recover exact geometry of SOC-ICNNs
Exact Dual Geometry of SOC-ICNN Value Functions
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Riesz energy point selection is NP-hard in the plane
On the Complexity of Minimum Riesz s-Energy Subset Selection in Euclidean and Ultrametric Spaces
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Block-wise optimizer configs cut memory without quality loss
Budget-aware Auto Optimizer Configurator
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Sensitivity maximization designs better excitations for parameter ID
Uncertainty Quantification Methods for Optimal Excitation Design in Parameter Identification
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Model predicts fabric drying time and moisture from cylinder contact
Heat and mass transfer through fabric: a model for fabric drying with heated cylinders
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Model predicts fabric drying time and final moisture
Heat and mass transfer through fabric: a model for fabric drying with heated cylinders
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Block structure enables faster energy model solves with distributed IPMs
Computational acceleration strategies for large-scale energy system optimization: a comparative study of GPU-accelerated and distributed-memory solvers